Algorithms and Algorithm Analysis of Logical and Operation of Grade Approximation Operators

Abstract:

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Grade is an important index for quantitative research, and graded rough set model is an important extended rough set model. This paper aims to study logical AND operation of grade approximation operators and its algorithms in graded rough set model. Based on logical AND requirement of grade index, logical AND operation of grade approximation operators is proposed and analyzed, and its essence and basic structure are obtained. Both conventional algorithm and microscopic algorithm are proposed and analyzed, and a conclusion is drawn that microscopic algorithm has more advantages in contrast to conventional algorithm. Finally, logical AND operation of grade approximation operators and its algorithms are illustrated by an example.

Info:

Periodical:

Advanced Materials Research (Volumes 204-210)

Edited by:

Helen Zhang, Gang Shen and David Jin

Pages:

1701-1704

DOI:

10.4028/www.scientific.net/AMR.204-210.1701

Citation:

X. Y. Zhang et al., "Algorithms and Algorithm Analysis of Logical and Operation of Grade Approximation Operators", Advanced Materials Research, Vols. 204-210, pp. 1701-1704, 2011

Online since:

February 2011

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Price:

$35.00

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